Applied Machine Learning Basics

Unlock the Power of Data with Applied Machine Learning

Hours: 10 Hours
Duration: 3 months
Level: Beginner
Average Completion: 3 Months
Language: English
Enrolled: 1 Students

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Applied Machine Learning Basics

3 months of Full Access

Is This the Right Career for You?

1. Start today

Begin your transformation and learning journey right away.

2. Learn your way

Achieve your training at your own pace, according to your own schedule.

3. Get hired today

Complete industry-recognized certification and develop your employment strategy to begin your dream job.

6 Reasons to Complete Your Applied Machine Learning Basics Training With Us

Flexibility

With our programs, you can learn and study at your own pace with access 24/7/365 for the duration of your program. This means you can learn on your own terms and work around your own schedule.

Support

Our online training comes with access to real, live support personnel that will help you through every step from our admissions adviser who will assist you with selecting the right training for you, to our student adviser who will be there with you during your entire training journey.

Relevancy

We have tailored our programs to provide comprehensive training in the technical and soft skills employers are looking for. With direct input and feedback from industry leaders and hiring managers, our program aligns with exactly what you need to successfully enter the workforce.

Certification

Our career training not only gives you the knowledge you need but preparation for the certification exams relevant to your desired career path. If you are pursuing an exciting new career in a field with a national certification, our program will both prepare you to sit for the exam but will often include a voucher for the exam cost.

Simulations and Case Studies

Our training programs have been developed with real learners and professionals in mind, so our programs incorporate real-world case studies and virtual simulations that will provide examples and interactions with real-life situations you may encounter during your career. These allow you to learn by experience with circumstances similar to what will be your daily responsibilities on the job.

Engaging and Interactive

Our training curriculum was developed with you in mind, looking at modern day learners and their needs. Our curriculum contains a mix of formats including reading, listening, watching, and interacting that will immerse you into a fun and engaging learning experience you will not only enjoy but not want to end.

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Program Description

The goal of this course is to introduce Machine Learning and give you experience using one common ML function, image classification. Becoming familiar with one method gives you an advantage when encountering new procedures, enlarging your pool of marketable skills. You will train and build a classification model, then deploy your code on a website, Raspberry Pi, or your phone. After taking this course you should feel ready to take more advanced AI and Machine Learning courses. Having constructed one actual product, you will be better able to apply new knowledge in practical settings.

Individuals looking to obtain introductory skills in machine learning.

• Define Machine Learning, describe what kinds of problems it can solve.
• Differentiate the 3 main approaches to Machine Learning.
• Describe the process of using ML to create useful applications.
• Collect, clean, and import data and convert them to datasets.
• Set up training and testing code procedures.
• Interpret training data to improve learning.
• Create a model and give options for deploying it.
This class is an independent-study course. Students will have all the resources needed to successfully complete the course within the online material. A student helpdesk is available for technical support during the course enrollment.
This course generally takes students the full 3 months to complete.

Applied Machine Learning Basics FAQs

To request more information, you can contact us via online chat, our website contact form, or toll free at 1-855-201-6910.

Online courses are accessible 24/7/365 and self-paced, allowing you to progress at your own pace on your own schedule. They can be taken from anywhere in the world from the comfort of your own home. Classroom courses have a set schedule of the days and times the courses will be held, and you must attend during those specific times.

Find out if online learning is right for you by contacting our team of registration advisers. Our team is available to answer any of your questions about taking an online course before you commit to enrolling. We will walk you through what to expect to ensure you are making the right decision. You can contact a registration adviser today via online chat, our website contact form, or toll free at 1-855-201-6910.

No, you are not required to have a diploma or higher education degree to enroll in an online course. However, some occupations may require minimum educational thresholds for employment or certification. For more information on your desired career requirements, please contact us via online chat, our website contact form, or toll free at 1-855-201-6910.

To take an online course, you will need to have access to an internet connection and an internet ready device such as a laptop, PC, or tablet. For course specific requirements, please visit the course page or contact a registration adviser today.

Our courses are developed with multiple formats including text, audio, video, and interactivity. Our courses also include multiple resources and tools which can include flashcards, games, activities, and more.

No, you can take the online courses from anywhere in the world.

We participate in several financial assistance options including third party funding, both military and non-military. To request more information on the financial assistance options available and check your eligibility, contact us via online chat, our website contact form, or toll free at 1-855-201-6910.

Duration is the amount of time you will receive access to your course. Durations vary by course and range between 1 month and 12 months. If you complete your course before your duration ends you will continue to have access to your course until the duration period ends.

Many of our career training programs include certification vouchers. This means that at the successful completion of your course, at no additional charge, you will receive an exam voucher for the corresponding industry certification. This voucher will allow you to register and sit for the appropriate certification exam to obtain your industry credential.

Our online courses are open enrollment, so you can start immediately. If you are using any third-party funding to cover your course tuition, your start date may be a future date determined by your funding program.

Once enrolled, you will be assigned a client adviser who will provide you with customer and technical support. Your client adviser will supply you with your course access information, any needed materials, and be available to answer any questions you have during your training experience. They will regularly check-in with you to monitor your progress and assist you with staying on track. You will also be assigned to a course mentor who will provide curriculum support throughout your training. Your mentor is available to answer any questions you have on your course curriculum, will monitor your progress and understanding of the curriculum, and may give assignments or quizzes.

If you experience any trouble accessing your course including technical issues or lost login credentials, please contact your client adviser at helpdesk@worldeducation.net.

Our goal for students is to successfully complete their training course and achieve their career goals. We understand that extenuating circumstances can interfere with your ability to complete your course in the duration given. Because of this we have free or low-cost extensions available for our courses upon request. To discuss or request an extension please contact your client adviser at helpdesk@worldeducation.net.

Upon successful completion of your course and fulfillment of any outstanding financial obligations, you will receive your certificate of completion. Certificates are provided to you within 30 days of completion. Your certificate will validate the training course you completed with a stamp of completion.

Students that successfully complete our career training programs are assigned a career development adviser who will coordinate placement at a local externship or hands on opportunity. These opportunities are optional and may vary based on availability and occupation. Your career development adviser will also provide job search services such as: resume building, mock interviews, job opportunity resources, and more. Our professional enrichment courses do not come with a career adviser or career services.


Chapter 1: Introduction to Machine Learning
A brief overview of the field of Machine Learning (ML) in the context of Artificial Intelligence.
• Define Machine Learning.
• Describe what kinds of problems ML can solve.
• Differentiate the 3 main approaches to Machine Learning.

Chapter 2: Data for Machine Learning
An introduction to datasets, how to find pre-made sets or create your own.
• Define several kinds of datasets.
• Describe the process of creating an image dataset.
• Upload and run a Google Colab Notebook.

Chapter 3: Artificial Neural Networks
An introduction to artificial neural networks used in image classification.
• Set up model training and testing code procedures.
• Interpret training data to improve learning.

Chapter 4: Convolutional Neural Networks
A more detailed look at how neural networks work and how to refine them to get better results.
• Set up model training and testing code procedures.
• Interpret training data to improve learning.

Chapter 5: Development
Now that you have experience creating predictive models with supervised learning, we deploy a sample model on a web page or smartphone.
• Give options for deploying a model once it has been trained and tested.
• Describe why you might need to convert a model to a different framework.
• Modify a smartphone app to deploy your machine learning model.

All required reference materials are provided with this program. Technical requirements:

Internet Connection
• Broadband or High-Speed (DSL, Cable, Wireless)
Hardware Requirements
• Processor - 2GHz Processor or Higher
• Memory - 1 GB RAM Minimum Recommended

Software Requirements
• Operating Systems - Windows 7, 8 or 10; Mac OS x 10 or higher
• Microsoft Office 2007, 2010 or 2013 or a Word Processing application to save and open Microsoft Office formats (.doc, .docx, .xls, .xlsx, .ppt, .pptx)
• Internet Browsers - Google Chrome is highly recommended
• Cookies MUST be enabled
• Pop-ups MUST be allowed (Pop-up Blocker disabled)
• Adobe PDF Reader


Features

• 100% Online, Self-Paced
• Open Enrollment
• Admissions and Student Support
• Multimedia Rich and Interactive Content